AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
Abstrak
We explore how scalable robot data can address real-world challenges for generalized robotic manipulation. Introducing AgiBot World, a large-scale platform comprising over 1 million trajectories across 217 tasks in five deployment scenarios, we achieve an order-of-magnitude increase in data scale compared to existing datasets. Accelerated by a standardized collection pipeline with human-in-the-loop verification, AgiBot World guarantees high-quality and diverse data distribution. It is extensible from grippers to dexterous hands and visuo-tactile sensors for fine-grained skill acquisition. Building on top of data, we introduce Genie Operator-1 (GO-1), a novel generalist policy that leverages latent action representations to maximize data utilization, demonstrating predictable performance scaling with increased data volume. Policies pre-trained on our dataset achieve an average performance improvement of 30% over those trained on Open X-Embodiment, both in in-domain and out-of-distribution scenarios. GO-1 exhibits exceptional capability in real-world dexterous and long-horizon tasks, achieving over 60% success rate on complex tasks and outperforming prior RDT approach by 32%. By open-sourcing the dataset, tools, and models, we aim to democratize access to large-scale, high-quality robot data, advancing the pursuit of scalable and general-purpose intelligence.
Penulis (52)
AgiBot-World-Contributors
Qingwen Bu
Jisong Cai
Li Chen
Xiuqi Cui
Yan Ding
Siyuan Feng
Shenyuan Gao
Xindong He
Xuan Hu
Xu Huang
Shu Jiang
Yuxin Jiang
Cheng Jing
Hongyang Li
Jialu Li
Chiming Liu
Yi Liu
Yuxiang Lu
Jianlan Luo
Ping Luo
Yao Mu
Yuehan Niu
Yixuan Pan
Jiangmiao Pang
Yu Qiao
Guanghui Ren
Cheng Ruan
Jiaqi Shan
Yongjian Shen
Chengshi Shi
Mingkang Shi
Modi Shi
Chonghao Sima
Jianheng Song
Huijie Wang
Wenhao Wang
Dafeng Wei
Chengen Xie
Guo Xu
Junchi Yan
Cunbiao Yang
Lei Yang
Shukai Yang
Maoqing Yao
Jia Zeng
Chi Zhang
Qinglin Zhang
Bin Zhao
Chengyue Zhao
Jiaqi Zhao
Jianchao Zhu
Akses Cepat
- Tahun Terbit
- 2025
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓